Machine Learning Video Processing Algorithm Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $147,400–$272,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 53% of similar roles. Most pay $196,312–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Video Processing Algorithm Engineer

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Join our dynamic team at Apple as a Machine Learning Video Processing Algorithm Engineer and contribute to the development of cutting-edge image/video core technologies used across all Apple products. This senior-level position involves developing and optimizing machine learning-based video processing algorithms for resource-constrained environments, conducting pre- and post-processing tasks, and exploring state-of-the-art low-level vision techniques. Ideal candidates possess a strong background in Machine Learning and Signal/Image/Video Processing, along with excellent programming skills in Python or C/C++. Preferred qualifications include a Ph.D., publication experience in top-tier conferences, and hands-on experience deploying neural networks to hardware using APIs like Metal or CUDA. This role offers the chance to work on industry-leading products that impact billions of users daily.

Skills

Python C CUDA Metal Machine Learning Video Processing Signal Processing Image Processing GPGPU Neural Networks

What you'll do

Develop and optimize machine learning video processing algorithms for resource-constrained environments.
Conduct pre-processing and post-processing tasks for model training, testing, and validation.
Investigate and implement the latest low-level vision technologies in machine learning.
Work on model quantization and distillation techniques to improve efficiency.
Collaborate with Apple engineers to integrate advanced image/video processing technologies.

What we're looking for

At least 5 years of industry experience in machine learning and video processing.
Strong background in machine learning and signal/image/video processing.
Proficient programming skills in Python or C/C++.
Experience developing and optimizing algorithms for resource-constrained environments.
Knowledge of GPGPU APIs, preferably Metal or CUDA.
Publication record in top-tier conferences like CVPR, ICCV, ICIP, SIGGRAPH.

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